DatriseAI-first ETL

Newsdata to MySQL Integration

AI-first ETL from Newsdata into MySQL. Governed entities, incremental sync, typed landing tables.

How Datrise loads Newsdata into MySQL

Datrise syncs Newsdata's articles, sources, categories, countries, publication dates, and keywords into MySQL as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME/TIMESTAMP.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

Newsdata: News feed API with topic and country filters.

MySQL: Widely used OSS relational engine (InnoDB).

How Newsdata entities map to MySQL

Newsdata entityMySQL objectNotes
articlesnewsdata_articlesid PK · custom fields → JSON columns
sourcesnewsdata_sourcesid PK · linked to newsdata_articles
categoriesnewsdata_categoriesid PK · linked to newsdata_articles
countriesnewsdata_countriesid PK · linked to newsdata_articles

FAQ

How does Datrise handle Newsdata's custom fields in MySQL?

Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MySQL types.

How does the Newsdata to MySQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

Early access

Connect Newsdata to MySQL the easy way

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